AWS Cloud Technology Consultant

Are you in a technical role and want to learn the fundamentals of AWS? Do you aspire to have a job or career as a cloud developer, architect, or in an operations role? If so, this course is an ideal way to start, as it requires no prior knowledge of cloud computing or AWS products and services.

AWS Cloud Technical Essentials introduces you to essential AWS products, services, and common solutions. The course covers the fundamental concepts of compute, database, storage, networking, monitoring and security that learners and professionals will need to know when working with AWS.

Learn how to get started working on AWS through a highly engaging and hands-on course experience that covers the concepts necessary to become more proficient in identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements. The course also provides information on how to build, compare and apply highly available, fault tolerant, scalable cloud solutions that are cost effective.

Learners who will find this course applicable to their work include:

• Individuals responsible for articulating the technical benefits of AWS services to customers
• Individuals interested in learning how to get started with AWS
• SysOps administrators
• Solutions architects
• Developers

This is a foundational level course that requires no prior knowledge of cloud computing or AWS products and services.

This course gives you a thorough introduction to the python programming language. You'll start by learning the definition of python, its history, semantics, and how it works. The first week concludes by writing a python script to solve a problem. In Week 2, you'll learn about Serverless Architectures and understand the differences between microservices, service-oriented and monolith architectures. You'll build a microservices architecture by learning how to use the following tools: AWS Lambda, Amazon API Gateway, and Cloud9. It's then time to go deep with AWS Databases. You'll see Amazon RDS and Amazon DynamoDB in action, visualizing the important role they play in developing applications in python. The course's final week will cover application integration services. Amazon's Simple Notification Service (SQS), Simple Queue Service (SQS), and EventBridge take center stage as important “glue” components for scalable, cloud-based applications. You'll close the course with a hands-on project, writing some code to use some hardcoded data to write to dynamodb and then convert that into a lambda function.

This three-module course covers automation topics by talking about operations best practices, scripting, configuration management, continuous compliance, provisioning, infrastructure as code (IaC), fleet patching, industry tools for automation, and more.

The content is divided into modules that build on top of each other, so we strongly encourage not skipping any content. Although the course starts with the basics by defining the value proposition of automation and APIs, you move on to learn about Bash scripting and the AWS Command Line Interface (AWS CLI). You also learn about AWS CloudFormation, which is one of the the most frequently used IaC tools in the AWS Cloud.

An AWS Cloud Technology Consultant is someone who advises clients on the use of cloud technology to meet business objectives. They are responsible for offering strategic guidance and technical expertise on selection and procurement, user training, and feedback. The goal of this course is for you to learn about the available options and get some hands-on experience, which will help you explore and learn how to optimize AWS architectures through the use of automation.

This course is the final part of the Cloud Technology Consultant Professional Certificate that brings together and deepens all of the information you have learned along the way. Up until this point, you’ve built up your foundational knowledge of technology and AWS Cloud, but how do you know if the solutions you create are following best practices? This is where the AWS Well-Architected Framework is critical knowledge for any cloud consultant or cloud professional. The AWS Well-Architected Framework is a set of best practices and guidelines for designing and building secure, high-performing, resilient, and efficient solutions on AWS.

The framework covers areas such as security, reliability, performance efficiency, cost optimization, operational excellence, and sustainability. You’ll follow along as we evaluate workloads against the design principles laid out in the AWS Well-Architected Framework. You’ll also get to explore the AWS Well-Architected Tool and apply the AWS Well-Architected Framework to your Capstone project. You’ll also learn about some next steps you can take to launch your career, like AWS Certification exams, getting hands-on with AWS, and practicing interviewing for technical roles.

Being a successful cloud consultant is finding the balance of soft skills and hard skills when investigating and solving customer problems. This course is designed to improve students’ understanding of key soft skills necessary to become successful cloud consultants. The course's first week provides foundational knowledge of what cloud consulting is and then dives into important skills for solving customers’ business problems. During the second week, students learn how to work with customers (gather requirements, propose a solution, plan and build out the project, monitor progress, and conclude final tasks) and how different soft skills can help them throughout all stages of the process. The third week of the course focuses on helping students develop and maintain strong business relationships. The main emphasis of this week is on developing soft skills that are necessary to build relationships, earn trust, manage changes, establish a brand, and build a good reputation. Finally, in week 4, students receive different recommendations and techniques on how to design a plan to improve their soft skills and grow as a leader.

This course starts by introducing fundamental concepts in data analysis. You begin with how to assess use cases for data analysis in the cloud. After exploring some of the main data types and structures, you’ll complete the module by contrasting two data-processing approaches for analytics: extract, transform, and load (ETL) and extract, load, and transform (ELT).

You’ll then transition to start learning about the ETL pipeline, review AWS services for data analysis, and reinforce your learning through practical labs. These services include Amazon API Gateway, Amazon Relational Database Service (Amazon RDS), Amazon DynamoDB, and Amazon QuickSight. You review these services in the AWS Management Console, and evaluate how you can use each service in the ETL process. Then, you gain practical experience by working with some of these service in a preconfigured environment.

How does software get built, tested, and deployed? How does a team of multiple people work on a code base? When someone says DevOps, what does it mean? This course will help you answer all of these questions and have some fun along the way! We’ll cover the basic steps you need to take to dive into the wonderful world of DevOps and product management.

In the first section of this course, we will focus on answering the question, “What is a project?”. We’ll break a project down into the individual pieces that need to be defined before talking about project management best practices. At the end of the section we’ll cover the Software Development Lifecyle process (SDLC) and we’ll see how this can be used to build new applications.

In the second section of this course, we’ll explore two different project management methodologies, Waterfall and Agile. It’s important to understand the use cases behind them so you can use them in the proper situations. We’ll end the section learning about Scrum, Kanban, and how DevOps can work with Agile to help you quickly build, test, and deploy your software.

In the third section of this course, we’ll expand on our DevOps concepts. Starting off with source control you’ll learn how to properly store your code and collaborate with your team members to make changes. Next, we’ll see how we can automate the building stage of our application with AWS CodeBuild and Jenkins. Finally, you’ll get a chance to go hands on in your own lab environment and practice using these best practices.

In the final section of this class, we’ll expand on our DevOps concepts and fill out the rest of our CI/CD pipeline. We’ll add in a testing stage and finally a deployment stage. By the end of the pipeline, you’ll have software that works and is ready to go to production. We’ll end things out with a hands-on exercise where you’ll get to combine all of the AWS Code services into your very own CI/CD pipeline.

Technology is omnipresent, but how did we get here? And what does the future hold for a world that's increasingly connected, mobile and data-rich? This course is to give learners enough technical context to understand how to build solutions in the cloud starting from zero technical knowledge. Before diving into the cloud, we will cover the basics of: how do computers work (including software and operating systems), an introduction to information technology, the basics of modern IT infrastructure, and the cloud careers that will be increasingly in-demand. We will then move into the world of internet connected networks (the Internet), covering local hosts, web servers, web applications, web security, the interworkings of a Website and the differences between static and dynamic content. We'll close the course by introducing Cloud Computing; it's role in our world, the differences between public, private and hybrid and why APIs are so important.